Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Nonlinear dimensionality reduction; sparse representation;
机译:显式-隐式映射方法可从单一混合物中非线性稀疏分离稀疏非负相关源:从非线性混合物质谱中提取纯组分
机译:使用线性降维和显式特征图谱进行MicroRNA鉴定
机译:使用线性降维和显式特征图谱进行MicroRNA鉴定
机译:非线性维度减少的显式稀疏映射
机译:稀疏的偏最小二乘回归,可同时进行降维和变量选择,并应用于高维基因组数据
机译:使用线性降维和显式特征图谱进行MicroRNA鉴定
机译:显式-隐式映射方法可从单一混合物中非线性稀疏分离稀疏非负相关源:从非线性混合物质谱中提取纯组分
机译:利用稀疏表示和非线性降维的智能数据融合